Overall Responsibility: 

As a data storyteller, you will analyze data, creating compelling narratives that inform, inspire and support business decisions while contributing to enhancing Poa’s data infrastructure.

Financial: None

People: None

Key SMART Results for A-Player Success

• Analyse market research data and structure the findings into a compelling data story that will help the business make evidence-based decisions on Kenya expansion within 5 days of the market research; accurate recommendations should result in any new towers reaching 50% utilization within the first 18 months. End Q4 2023
• Deliver weekly and monthly analysis results on price changes, meticulously analyzing the incoming data from field teams to assess the multifaceted impacts of these changes; craft and share a persuasive data-driven narrative that aids the business in making informed decisions about pricing.Mid Q1 2024
• Complete an exhaustive analysis of 100% of all support tickets, deliver a report that extracts meaningful insights and gives actionable recommendations that improve various facets of the business.Mid Q1 2024
• Conduct an exploratory in-depth examination of churn data, resulting in predictive models that incorporate a range of scenarios to analyze and forecast outcomes across different business use cases; give data-driven recommendations for churn reduction.Mid Q1 2024
• Implement user-friendly data storytelling tools that help mid-level managers make informed operational decisions. End Q1 2024
• Deliver 99% of ‘business as usual’ and on-demand analytical reports for diverse teams according to agreed-upon timeframes to support informed decision making.End Q1 2023
• Actively collaborate with the Research and Design teams to understand user insights and conduct statistical hypothesis testing to diligently assess the effectiveness of various initiatives.Start Q2 2024
• Conduct coaching sessions with colleagues on the art of data storytelling to enhance the team’s ability to communicate data effectively and to better integrate data and research findings into Insight reports.End Q2 2023

Level of Management Experience Required (Mandatory & Nice to Have) : None

Department stage of development where this role sits : Scaling

Key Competencies (H, M, L)

• A great data story teller with proven experience in telling compeling data stories-H
• Firm grasp of using business data analytical tools (e.g Excel,SQL, Power BI, Python) to analyze data-H
• Experience in extracting, transforming and loading data to BI tools for analysis and story tellingM2+ years experience with doing large and complex descriptive, predictive and prescriptive analysis-H
• Experience with data collection and survey tools is an added advantage, but not mandatory-M
• Attention to detail – Ability to focus on all areas of a project or task-H
• Growth mindset – Proactively seek feedback, adjust and learn quickly-H

Mandatory Criteria if Any with no exceptions to hire

• Must have owned end-to-end data projects, from definition to data story delivery
• Must have minimum 2 years experience as a data analyst working with large datasets.